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“krishnendu chaudhury”

1 - 12 de 12 resultados para “krishnendu chaudhury”
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  • Math and Architectures of Deep Learning

    de Krishnendu Chaudhury ...
    Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.Inside Math and Architectures of Deep Learning you will find:Math, theory, and programming principles side by sideLinear algebra, vector calculus and ... Leer más

    $68.99 USD

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  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    de Ronald T. Kneusel ...
    Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning.You’ll work through Python examples to learn key deep learning related topics in probability, statistics, ... Leer más

    $29.99 USD

  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    de Mike X Cohen ...
    If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world ... Leer más

    $48.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.89 USD o gratis con Kobo Plus

  • Numerical Methods

    Design, Analysis, and Computer Implementation of Algorithms

    de Anne Greenbaum, Tim P. Chartier ...
    A rigorous and comprehensive introduction to numerical analysisNumerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as ... Leer más

    $82.79 USD

  • Practical Mathematics for AI and Deep Learning

    A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

    de Tamoghna Ghosh, Shravan Kumar Belagal Math ...
    To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and ... Leer más

    $14.39 USD o gratis con Kobo Plus

  • 15 Math Concepts Every Data Scientist Should Know

    Understand and learn how to apply the math behind data science algorithms

    de David Hoyle ...
    Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithmsKey FeaturesUnderstand key data science algorithms with Python-based examplesIncrease the impact of your data science solutions by learning how to apply existing algorithmsTake your data science solutions to the next level by learning how to ... Leer más

    $34.19 USD o gratis con Kobo Plus

  • Probability and Random Processes

    With Applications to Signal Processing and Communications

    de Scott Miller ...
    Probability and Random Processes provides a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory ... Leer más

    $108.89 USD

  • Introduction to Applied Linear Algebra

    Vectors, Matrices, and Least Squares

    de Stephen Boyd, Lieven Vandenberghe ...
    This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and ... Leer más

    $47.59 USD

  • Schaum's Outline of Mathematica, Third Edition

    de Eugene Don ...
    Tough Test Questions? Missed Lectures? Not Enough Time?Fortunately, there’s Schaum’s*.*More than 40 million students have trusted Schaum’s to help them succeed in the classroom and on exams. Schaum’s is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of ... Leer más

    $24.49 USD

  • Applied Geostatistics with SGeMS

    A User's Guide

    de Nicolas Remy, Jianbing Wu, Alexandre Boucher ...
    The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying ... Leer más

    $58.29 USD

  • Environmental Data Analysis with MatLab

    de William Menke, Joshua Menke ...
    Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis ... Leer más

    $71.99 USD